THE MRDCL HUB
Survey Data Processing Built Around a Powerful Scripting Engine
MRDCL Hub combines scripting, workflow automation and reusable processing systems into a flexible platform designed for complex survey data environments.
Built for research teams handling demanding workflows, MRDCL Hub provides the control and scalability needed for modern data processing operations.
One Platform. Three Connected Layers.
The MRDCL platform is designed around three connected components that work together to support modern survey data processing workflows.
Each layer serves a different role within the overall ecosystem while remaining connected through the same scripting-driven foundation.
The Scripting Engine
The technical foundation of the platform.
The MRDCL scripting engine is designed for advanced survey data processing, automation and tabulation workflows. It provides the flexibility needed to manage complex studies, reusable systems and structured operational workflows.
The Hub
The workflow and operational layer.
MRDCL Hub allows organisations to build scalable processing workflows around scripting, automation, reusable systems and operational control.
Resolve
The accessibility and sharing layer.
Resolve allows outputs created within MRDCL workflows to be explored and shared through more accessible interfaces designed for wider teams and stakeholders.se this space to add a short description.
Built Around Workflow, Not Just Features
As research projects become larger and more operationally complex, fragmented workflows and repetitive manual processing become increasingly difficult to maintain.
The MRDCL platform is designed to support structured, repeatable processing systems that reduce friction across the full lifecycle of survey data processing.
Rather than focusing on adding more isolated features, the platform is built around improving workflows, supporting automation and giving teams greater control over how projects are structured and maintained.
By combining scripting flexibility with reusable systems and workflow automation, MRDCL helps organisations manage increasing complexity without sacrificing flexibility.
Designed for Modern Research Operations
Import & Prepare Data
Work with complex survey datasets, structured imports and reusable processing pipelines.
Apply Processing Logic
Use scripting, automation and reusable workflows to manage advanced processing requirements consistently across projects.
Standardise Outputs
Build structured tabulations, reporting systems and reusable operational templates.
Share Through Resolve
Provide wider teams and stakeholders with accessible outputs and reporting environments built around the same underlying logic.
The Core of the Platform
At the centre of the MRDCL platform is the MRDCL scripting engine – a system designed specifically for advanced survey data processing and tabulation workflows.
The scripting engine supports:
Rather than hiding complexity behind restrictive interfaces, the MRDCL scripting engine is designed to give technical teams greater control over how processing systems are structured, automated and maintained.
This scripting-driven foundation remains the core of the platform and the basis for the wider workflow and automation capabilities built around it.
Operationalise Complex Processing Workflows
MRDCL Hub extends the scripting foundation into a more structured operational environment designed for scalable processing workflows.
By combining scripting, reusable systems, automation and workflow control, MRDCL Hub helps organisations standardise operational processes while maintaining the flexibility needed for complex research projects.
MRDCL Hub is not designed to replace existing operational environments, but to work alongside them as part of broader research workflows.
repeatable workflows
reusable templates
structured automation
team collaboration
operational scalability
project handover
Make Outputs More Accessible
Resolve provides a more accessible interface for exploring and sharing outputs generated through MRDCL workflows.
This allows specialist processing teams to build advanced logic within the scripting environment while enabling wider teams and stakeholders to interact with outputs through a simpler interface.
Resolve acts as an accessibility and distribution layer across the wider MRDCL ecosystem.
